Shadow detection using a cross-attentional dual-decoder network with self-supervised image reconstruction features-Reference-Cited by-同舟云学术

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Shadow detection using a cross-attentional dual-decoder network with self-supervised image reconstruction features

Published:2024-03 Issue: Volume:143 Page:104922
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Fernandez-Beltran Ruben,Guzmán-Ponce Angélica,Fernandez Rafael,Kang Jian,García-Mateos Ginés

Funder

Fundación Séneca Agencia de Ciencia y Tecnología de la Región de Murcia

European Union

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference76 articles.

1. Estimating the natural illumination conditions from a single outdoor image;Lalonde;Int. J. Comput. Vis.,2012

2. What characterizes a shadow boundary under the sun and sky?;Huang,2011

3. Improving shadow suppression for illumination robust face recognition;Zhang;IEEE Trans. Pattern Anal. Mach. Intell.,2018

4. Endmember extraction from hyperspectral imagery based on probabilistic tensor moments;Fernandez-Beltran;IEEE Geosci. Remote Sens. Lett.,2020

5. Improving vegetation segmentation with shadow effects based on double input networks using polarization images;Yang;Comput. Electron. Agric.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SDD: A Benchmark for Empowering Shadow Detection;2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD);2024-05-24

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